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Pages 1-11

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From page 1...
... During the 2017-2018 assessment, the ARLTAB is being assisted by seven panels, each of which focuses on a portion of the ARL program conducted in ARL's science and technology (S&T) campaigns: Materials Research, Sciences for Lethality and Protection, Information Sciences, Computational Sciences, Sciences for Maneuver, Human Sciences, and Analysis and Assessment.
From page 2...
... Materials research efforts and expertise are spread throughout the ARL enterprise. As the ensemble of the materials discipline and capabilities, the area of materials sciences is one of ARL's primary core technical competencies.
From page 3...
... SCIENCES FOR LETHALITY AND PROTECTION ARL's research in the area of sciences for lethality and protection during 2017 ranged from basic research that improves our fundamental understanding of the scientific phenomena and technology generation that supports battlefield injury mechanisms in human response to threats and human protective equipment, directed energy programs, and programs that address weapon-target interactions and armor and adaptive protection developments to benefit the warfighter. Battlefield Injury Mechanisms The study of battlefield injury mechanisms are a relatively new area of research at ARL, and ARL has shown greatly improved coordination and focus over the past two years.
From page 4...
... Noteworthy programs include electric and magnetic field sensing, research on the nextgeneration improvised explosive device (IED) and landmine detection platform, computational advances in electric field modeling, cross-modal face recognition, along with the development and dissemination of a cross-modal face recognition data set to the academic research community, and innovative approaches to fuse textual context with image features to improve machine learning of human activity.
From page 5...
... COMPUTATIONAL SCIENCES The computational sciences panel examined projects in advanced computing architectures, data intensive sciences (AI and machine learning) , and predictive sciences.
From page 6...
... ; and research and simulation work on the Wingman Software Integration Laboratory, which has a clear path to Army-relevant static and dynamic scenarios and multiple-machine and multiplehuman interactions. Intelligence and Control The overall technical quality of the intelligence and control effort is good, and has shown continual improvement -- particularly since the 2015-2016 assessment by the ARLTAB.
From page 7...
... The research typically utilized an appropriate mix of theory and experimentation to arrive at wellreasoned conclusions. The Wingman Software Integration Laboratory was identified as a promising project potentially resulting in outstanding data and knowledge that could ultimately be transitioned to the field.
From page 8...
... The identification of the Cyber Human Integrated Modeling and Experimentation Range Army (CHIMERA) lab as a target of opportunity for research into the human aspects of cyber security, represents foresight into outreach and collaboration with other organizations, and it leverages investments made elsewhere.
From page 9...
... It is the best high-speed X-ray capability that has been observed in this area. In HSI, the human physical accommodation models and soldier performance and workload modeling and simulation tools developed and employed by ARL are first rate and have provided the Army and industry with an excellent capability to assess soldier integration into complex systems.
From page 10...
... Recommendation 1: Upon initiation, ARL research efforts should propose a positioning plan and schedule that includes 1. Identification of key, core, and complementary research programs and relevant expertise; 2.
From page 11...
... ARL should further enhance the use of appropriate models to better understand the phenomena of interest and develop technology. Recommendation 8: To enrich the ARL open campus, ARL should consider developing an ARL on-site open network that research staff can use to readily access research software that has not yet received qualification for use on the internal network.


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